MoME / MoME_plus /MoME_plus_CHECKPOINT /nnUNetPlans.json
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{
"dataset_name": "Dataset013_BraTSMultiMod",
"plans_name": "nnUNetPlans",
"original_median_spacing_after_transp": [
1.0,
1.0,
1.0
],
"original_median_shape_after_transp": [
160,
196,
160
],
"image_reader_writer": "SimpleITKIO",
"transpose_forward": [
0,
1,
2
],
"transpose_backward": [
0,
1,
2
],
"configurations": {
"2d": {
"data_identifier": "nnUNetPlans_2d",
"preprocessor_name": "DefaultPreprocessor",
"batch_size": 90,
"patch_size": [
224,
160
],
"median_image_size_in_voxels": [
196.0,
160.0
],
"spacing": [
1.0,
1.0
],
"normalization_schemes": [
"ZScoreNormalization"
],
"use_mask_for_norm": [
false
],
"UNet_class_name": "PlainConvUNet",
"UNet_base_num_features": 32,
"n_conv_per_stage_encoder": [
2,
2,
2,
2,
2,
2
],
"n_conv_per_stage_decoder": [
2,
2,
2,
2,
2
],
"num_pool_per_axis": [
5,
5
],
"pool_op_kernel_sizes": [
[
1,
1
],
[
2,
2
],
[
2,
2
],
[
2,
2
],
[
2,
2
],
[
2,
2
]
],
"conv_kernel_sizes": [
[
3,
3
],
[
3,
3
],
[
3,
3
],
[
3,
3
],
[
3,
3
],
[
3,
3
]
],
"unet_max_num_features": 512,
"resampling_fn_data": "resample_data_or_seg_to_shape",
"resampling_fn_seg": "resample_data_or_seg_to_shape",
"resampling_fn_data_kwargs": {
"is_seg": false,
"order": 3,
"order_z": 0,
"force_separate_z": null
},
"resampling_fn_seg_kwargs": {
"is_seg": true,
"order": 1,
"order_z": 0,
"force_separate_z": null
},
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
"resampling_fn_probabilities_kwargs": {
"is_seg": false,
"order": 1,
"order_z": 0,
"force_separate_z": null
},
"batch_dice": true
},
"3d_fullres": {
"data_identifier": "nnUNetPlans_3d_fullres",
"preprocessor_name": "DefaultPreprocessor",
"batch_size": 2,
"patch_size": [
128,
128,
128
],
"median_image_size_in_voxels": [
160.0,
196.0,
160.0
],
"spacing": [
1.0,
1.0,
1.0
],
"normalization_schemes": [
"ZScoreNormalization"
],
"use_mask_for_norm": [
false
],
"UNet_class_name": "PlainConvUNet",
"UNet_base_num_features": 32,
"n_conv_per_stage_encoder": [
2,
2,
2,
2,
2,
2
],
"n_conv_per_stage_decoder": [
2,
2,
2,
2,
2
],
"num_pool_per_axis": [
5,
5,
5
],
"pool_op_kernel_sizes": [
[
1,
1,
1
],
[
2,
2,
2
],
[
2,
2,
2
],
[
2,
2,
2
],
[
2,
2,
2
],
[
2,
2,
2
]
],
"conv_kernel_sizes": [
[
3,
3,
3
],
[
3,
3,
3
],
[
3,
3,
3
],
[
3,
3,
3
],
[
3,
3,
3
],
[
3,
3,
3
]
],
"unet_max_num_features": 320,
"resampling_fn_data": "resample_data_or_seg_to_shape",
"resampling_fn_seg": "resample_data_or_seg_to_shape",
"resampling_fn_data_kwargs": {
"is_seg": false,
"order": 3,
"order_z": 0,
"force_separate_z": null
},
"resampling_fn_seg_kwargs": {
"is_seg": true,
"order": 1,
"order_z": 0,
"force_separate_z": null
},
"resampling_fn_probabilities": "resample_data_or_seg_to_shape",
"resampling_fn_probabilities_kwargs": {
"is_seg": false,
"order": 1,
"order_z": 0,
"force_separate_z": null
},
"batch_dice": false
}
},
"experiment_planner_used": "ExperimentPlanner",
"label_manager": "LabelManager",
"foreground_intensity_properties_per_channel": {
"0": {
"max": 4438107.0,
"mean": 1425.490478515625,
"median": 578.0,
"min": 0.0,
"percentile_00_5": 67.0,
"percentile_99_5": 8267.375,
"std": 24559.1171875
}
}
}